faster_rcnn_r50_vd_fpn_2x_coco.yml 512 B

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  1. _BASE_: [
  2. 'faster_rcnn_r50_fpn_1x_coco.yml',
  3. ]
  4. pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_pretrained.pdparams
  5. weights: output/faster_rcnn_r50_vd_fpn_2x_coco/model_final
  6. ResNet:
  7. # index 0 stands for res2
  8. depth: 50
  9. variant: d
  10. norm_type: bn
  11. freeze_at: 0
  12. return_idx: [0,1,2,3]
  13. num_stages: 4
  14. epoch: 24
  15. LearningRate:
  16. base_lr: 0.01
  17. schedulers:
  18. - !PiecewiseDecay
  19. gamma: 0.1
  20. milestones: [16, 22]
  21. - !LinearWarmup
  22. start_factor: 0.1
  23. steps: 1000